Vice President, Machine Learning Engineer Greater Bengaluru, India Area + 1 more
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About the Role
Greater Bengaluru, India Area (On-site)(Bengaluru, India)
;Greater Najafgarh, India Area (On-site)(Gurgaon, India)
The Company is seeking a Machine Learning Engineer at the Vice President level to lead the design, development, and operationalization of machine learning and AI solutions. The successful candidate will be a technical expert, responsible for building and deploying production-grade ML and AI systems, and will play a key role in championing engineering best practices. This role requires a passion for turning cutting-edge machine learning and AI capabilities into robust business solutions, with a focus on both generative AI and traditional machine learning techniques. The candidate will work closely with data scientists, engineers, architects, and business stakeholders to ensure the delivery of reliable and secure products that align with the business strategy and customer outcomes. Applicants for this role should have a strong background in software engineering, including experience in cloud-native development, data engineering, and machine learning operations. The role demands a proactive individual with the ability to self-manage, take initiative, and demonstrate a commitment to high-quality engineering outcomes. Technical leadership, a passion for engineering excellence, and the ability to mentor others are essential. The ideal candidate will have a degree in a quantitative, engineering, or computer science discipline, or equivalent practical experience, and a proven track record in delivering complex machine learning and AI solutions. Expertise in MLOps practices, cloud technologies, and proficiency in Python, SQL, and distributed data processing are also required. Additional skills in areas such as RAG, semantic search, and vector databases, as well as experience with containerization and orchestration technologies, are beneficial.
Functions:
- Engineering
About the Company
Large financial services firm providing retail banking services across the world
Industry
Banking
Type
Public Company (RBS)
Age
employees
1-10
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